Activity driven models can give rise to echo chambers in social media, representing a divide in opinions on pressing issues [1]}, [2]}. We use a modified activity driven model where each agent receives a random input based on the opinions of the others in the network and counteracts the effects of hopmophilic interactions. Our results show that a RDN disallows the formation of echo chambers and leads to a normal distribution of opinions centered around the neutral consensus. We also find heterogenous effects of the RDN across the network, indicating that, in addition to depolarizing the network as a whole, the RDN depolarizes individual users across different network topographies at different rates.
